Method and system for providing targeted marketing and services in an SDARS network

ABSTRACT

A targeted area audio distribution system for Satellite Digital Audio Radio Services Receivers (“SDARS”) provides specific content to listeners based on location. A service provider can facilitate delivery of local content using a telematics device installed in the listener&#39;s vehicle. The telematics device uses a content database indexed on an identifier formed from coordinates of a desired geographical area to target particular content for users in a targeted area as small as a few blocks. In addition, interstate drivers can receive location specific advertisements for exits that they may be approaching. Digital audio content can be queued up for insertion into the audio stream based on specific locations. The identifier can also be used to report vehicle performance information from a plurality of vehicles to facilitate providing real-time traffic conditions for many traffic corridors.

CROSS REFERENCE TO RELATED APPLICATIONS

This application claims priority under 35 U.S.C. §120 to, and is acontinuation of, U.S. patent application Ser. No. 12/711,172, whichclaims priority under 35 U.S.C. §119(e) to U.S. Provisional PatentApplication No. 61/154,708 entitled “Method and system for providingtargeted marketing in an SDARS network” to Charles M. Link, II, filed onFeb. 23, 2009.

FIELD

This invention generally relates to entertainment devices, and morespecifically to an SDARS media entertainment receiver generallyinstalled in vehicles. The methods configure a telematics centralcomputer and telematics devices in the vehicles to provide audio andvideo content in the vehicle based on the location of the vehicles.

BACKGROUND

Audio content distribution is a highly competitive market. There arelocal radio stations broadcasting their content, nationally syndicatedbroadcast networks broadcasting content of national interest andsatellite radio services that are broadcasting content that is massdistributed to listeners region and nationwide. Content is geared to themarket that it can be received in—local content is generally of interestto a small locale where national content is generally of interest to amuch wider area. Much of the content is listener supported throughadvertising. Without advertising, even the pay content channels would beprohibitively expensive (for typical programming).

The problem with advertising is that it should be universally applicableto all listeners for a national distribution model. It would becost-prohibitive for “Bob's Car Wash” to advertise on a nationallysyndicated program if the business was located in Abilene, Tex.Nationally syndicated programs broadcast by a local terrestrialbroadcast transmitter solve this problem by inserting localadvertisements into the audio stream. This allows local advertisers toachieve the advertising they desire in highly coveted time slots onlocal stations without paying for advertising on a national level.Further, for the broadcaster, both the syndicated programmer and thelocal “transmitter owner”, it allows for a wider range of advertisers.After all, it may not be that easy to find advertisers who desire, orcan afford, advertising on a national basis.

Even terrestrial broadcasters find the need for location based content.Many FM radio stations and some AM broadcast stations find themselvesbroadcasting to ever widening audiences. An example of this problem canbe found in any major metro area where these stations attempt to grab asignificant portion of the radio listeners in the area. Further, these“superstations” have positioned their transmitting antennas to have thewidest possible coverage. In many cases, these superstations havecreated larger broadcast areas by purchasing multiple stations and“simulcasting” local content among two or more broadcast transmitters,with each broadcasting exactly the same content. Certainly this has itsadvantages, but it limits advertisers to businesses with huge marketingbudgets, typically with multiple locations. Smaller local advertisersare almost locked out of the radio market for all but medium-powered AMbroadcast stations.

SUMMARY

To effectively deliver advertising to the desired audience, advertisersprimarily consider location and demographics. As an example in printadvertising, a power tool vendor would probably not attempt to advertisehis wares in Ladies Home Journal and a manufacturer of hearing aidsprobably would not advertise his wares in Teen magazine. Advertiserstarget a market to make effective use of their resources. As print mediabecomes less and less attractive due to declining readership, audio,video and web based media become more attractive. Each media outlet viesfor a portion of an advertiser's advertising money, and as more creativemethods of distribution are developed, each media outlet finds its shareof the total advertising pie decreasing. Web based advertising certainlyhas captured its share of advertising money while using services likeDoubleClick to target the appropriate audience.

An audio outlet competes without making the product less attractive forthe consumer of the media and still attract necessary money to operateand grow by closely targeting its listeners with advertising gearedtoward the consumer. The advertiser begins with analyzing the mediaprogramming content to determine the demographics of the listener.Classical music my attract a more affluent and perhaps older population,while classic rock may attract a middle aged male population, andhip-hop may attract a younger population with a propensity to spend moreon technology gadgets and fad-related products. However, listeners tothe same content in Maine may not have the same values, preferences, andinterests as someone listening to the same content in San Diego. Thepresent application discloses a method and system for targetingmarketing nationally, yet with flexibility that allows the marketer totarget an intended demographic in a given geographic location. Themethod and system described here merges the available resources of awide area audio distribution system (either terrestrial or satellitebased) along with global positioning satellite (“GPS”) technology todeliver targeted content to the listener at the lowest possible pricepoints and perhaps leverages the technology that might already exist todo this. It becomes possible to utilize the unused capability of an“automatic crash notification” [ACN] telematic device to deliver veryaccurate and targeted content.

Today, vehicles are equipped with a variety of safety, information andentertainment electronics. Almost every vehicle manufactured todaycontains some type of radio receiver for entertainment. Though all ofthose receivers contain capability to receive AM and FM broadcasts onthe standard frequencies used for that purposes, many now containSatellite Digital Audio Receiver System (“SDARS”) receivers that receivedigital data streams containing many audio entertainment and digitalinformation streams. The typical SDARS receiver in the U.S. will receiveabout 12 million bits per second which may or may not be whollybroadcast from a high power satellite. Depending on the exact system andnetwork engineering, some portion of the SDARS bandwidth may be receivedfrom terrestrial stations, sometimes referred to as repeaters, to offerbetter signal coverage and allow penetration in the urban canyons of thetypical metropolitan city. Though not currently allowed under thecurrent SDARS licensing structure, some portion of the content couldcontain locally generated programming (advertising) or data.

AM and FM broadcasters are working to adapt to more advancedtechnologies to remain competitive. One of the latest inventions in thebroadcasting field is digital transmission technologies that utilizesimilar bandwidths and deliver higher quality content. The technologies,whether analog or digital can support distribution of alternate contentaside from the main audio channel.

Among the safety devices commonly installed in many passenger vehiclesare wireless communication and location determining devices that can beused to report crashes and other roadway emergencies as well asconcierge services. These devices, which some refer to as “telematics”devices, generally contain a wireless communications device such as acellular or PCS communications device and a GPS circuit, and in manycases may contain accelerometers for automatic crash detection. Upondetection of a crash, or operation of a user pushbutton, the telematicsdevice initiates a wireless call, or a digital message, to an operatorwho can notify the local public safety access point as to the event aswell as the address or map location of the event. This functionality iswell known and established within the automotive industry. It is apopular option that is included on several automobile manufacturers'vehicles.

Combining the entertainment equipment with the information equipment andthe telematics equipment is a logical step in the evolution ofelectronics for automobiles. Utilizing the synergies of the GPS, displayscreen, wireless phone and entertainment system, a perfect nextgeneration “infotainment” system is created. This infotainment systemdelivers the capability for building the perfect marketing system totarget advertising to listeners of digital audio content from SDARS,other satellite, or terrestrial AM and FM broadcasts.

Existing technology systems might target a customer based on a distancefrom a given point, as determined by GPS. Another solution might offeronly enough granularities to target customers in a city, state orregion. The solution described in the present application can target allcustomers who routinely travel down a particular road, or to aparticular shopping center.

The aspects described herein create a targeted marketing solution thatevaluates the vehicle location in real time and subsequently selectspreloaded, or previously downloaded, audio snippets, or audio files.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates the block diagram of a system for processing SDARSbroadcasts.

FIG. 2 illustrates an example map showing the coordinates of aquartergrid.

FIG. 3 illustrates a flow diagram of a method for playing content basedon the location telematics unit.

FIG. 4 illustrates a flow diagram of a subroutine method for generatingdatabase records for use in a method for playing content based on thelocation telematics unit.

FIG. 5 illustrates a flow diagram of a subroutine method for determininga content file to play.

FIG. 6 illustrates a flow diagram of a subroutine method forincrementing a content counter.

FIG. 7 illustrates a database record structure for associating multiplecontent files, or addresses thereof, with unique identifiers thatcorrespond to desired polygons.

FIG. 8 illustrates a Kalman filter input versus output showing theprocessing step to stabilize the location of the vehicle using a WAASequipped GPS.

DETAILED DESCRIPTION

The present invention may be embedded in telematics control unitinstalled in target vehicles. In particular, an entire fleet of one, ormore, manufacturer's vehicles may be equipped with the describedtelematics control units. In the ideal implementation of this invention,all system and subsystems of the telematics unit are contained within asingle box, and controlled with a single core processing subsystem, butthis is by no means the only implementation. Each of the components ofthe telematics control unit can be separate subsystems of the vehicle,for example, the SDARS or AM/FM receiver can be a separate entitycontained within the entertainment radio of the vehicle and the GPS canbe a separate entity contained within the vehicle navigation system. Theideal embodiment would capitalize on the synergies of each of theelectronics subsystems to minimize the VTUTMD cost and hence overallvehicle cost.

The present application may refer to the device illustrated in FIG. 1 asa “vehicle telematics unit and targeted marketing device” (“VTUTMD”).Alternatively, this application may refer to device 10 as a vehicletelematics unit, or a telematics unit. Referring to FIG. 1 above, system2 includes three separate RF subsystems. The first subsystem is thePCS/Cell Modem network 4. Its typical purpose is for communicating crashinformation and perhaps other telematics functions, and is not requiredfor the delivery of services by various aspects described in the presentapplication. Network 4 can operate on any frequency available in thecountry of operation, and more specifically, in the U.S. markets, itcould operate on the standard 850/1900 MHz cellular and PCS frequencyallocations. The type of communications can be, but is not limited to,GPRS, EDGE, UMTS, 1×RTT or EV-DO. Alternately the modem could be a Wi-Fior mobile WIMAX implementation that could support operation onunlicensed wireless frequencies. An aspect utilizes the centralprocessor to control and operate the baseband wireless communicationschips.

The second subsystem 6 includes a GPS receiver receiving positioninformation from a constellation of satellites operated by the U.S.Department of Defense. Alternately the receiver could be a GLONASSreceiver operated by the Russian Federation Ministry of Defense, or anyother positioning device capable of providing very accurate locationinformation [LORAN, inertial navigation, etc]. In the preferredembodiment, this GPS receiver contains additional logic, eithersoftware, hardware, or both, to receive the Wide Area AugmentationSystem [WAAS] signals, operated by the Federal Aviation Administration,to correct dithering errors and provide the most accurate locationpossible. Overall accuracy of the positioning equipment subsystemcontaining WAAS is generally in the 2 meter range and contributes to theviability of the system. Optionally, the telematics solution can containa MEMS, or piezo electronic gyro, or other angular rate sensor formeasuring angular rates and wheel tick inputs for determining the exactposition based on dead-reckoning techniques. This functionality isuseful for determining accurate locations in the metropolitan urbancanyons, heavily tree lined streets and tunnels.

In the preferred implementation, the third subsystem could contain anSDARS receiver or digital “In Band On Channel” [IBOC] AM/FM broadcasttransmitter. SDARS utilizes high power satellites operating at 2.35 GHzto broadcast digital content to automobiles and some terrestrialreceivers, and the signal is generally demodulated for audio content,but could alternately contain digital data streams that could be used toupdate the onboard databases contained within the VTUTMD.

Other solutions for providing database updates include using FMsubcarrier, cellular data download, digital content on IBOC stations,other satellite technologies, or Wi-Fi etc. Though all would yield asatisfactory system, SDARS or IBOC data downloads provides the mostflexibility and lowest cost by obtaining digital data through anexisting receiver already installed for the purpose of audioentertainment. In the preferred embodiment, the SDARS data stream istypically not a channelized implementation (like AM or FM radio), but abroadband implementation that provides a single data stream that isseparated into the useful and applicable components. In the idealimplementation, a component of interest to the occupants of the vehicleis entertainment audio, traffic data, or weather data etc. However, anadvertiser may also be interested in simultaneously extracting marketingarea of interest database updates from the data stream. Additionally,using advanced coding techniques, IBOC digital radio supports multipledigital program channels within the bandwidth reserved for the singlechannel audio. Called “Tomorrow Radio”, this and other similartechniques should demonstrate the feasibility of using an alternatesource for targeted content delivery, to be stored and played back onrequest by the onboard processing system.

In the preferred embodiment, a processor inside the VTUTMD 10 controlsthe various communications and position RF subsystems. In thisimplementation, the control processor would have attached SDRAM andFLASH memory containing the operating software and necessary high speedrandom access memory for containing temporary audio storage andscratchpad memory. This core processor can control additionalperipherals within the VTUTMD for offering the highest integration whilemaintaining the lowest cost for the vehicle manufacturer. In thisembodiment, the processing core controls the power to the componentswithin the VTUTMD, shutting off GPS and SDARS receiver when the vehicleis inactive, and alternately turning off the wireless phone to conservethe vehicle battery when the vehicle is stationary for long periods ofinactivity. In the preferred embodiment, the processor core controls theaudio subsystem and contains a stereo codec and multiplexer forprocessing and presenting to vehicle occupants entertainment audiowireless communications audio (cell/PCS communications audio), speechrecognition from the driver compartment for manipulating the SDARSreceiver and cell/PCS phone dialing, and text to speech and canned audiofor vehicle status annunciation. Additional communication with thedriver for normal activities can occur through the infotainment radiohead unit, which typically attaches to a vehicle's CAN (controller areanetwork) bus.

The core processor normally monitors the accelerometers, or optionallycommunicates with the airbag deployment computer for crashnotifications. The additional functionality of targeted marketingcontent delivery does not necessarily overburden the core processor.Ideally, the core processor will contain a real-time operating system,but could optionally contain a specialized task dispatcher, slicing theavailable bandwidth among the necessary tasks at hand, includingwireless communications management, position determination andmanagement, entertainment radio management, SDARS data demodulation andassessment, power control, and vehicle communications. In the exemplarysystem, Linux was used as a task dispatcher and provided near real timefunctionality.

In the normal deployment where the VTUTMD operates as a telematics unit,hundreds of thousands and perhaps as many as 5 million of the VTUTMDdevices would provide a level of content delivery useful to a broadrange of advertisers. Reasonable quantities can be attained after abouttwo years if a single manufacturer equips all the vehicles in its fleet.Those quantities can be reached sooner if multiple manufacturersparticipate. Areas of interest are characterized and mapped with road,city and region polygons. Each of these areas of interest is broken intofour point polygons (e.g., squares, rectangles, or trapezoids). EachVTUTMD can receive nationwide, or partial downloads based on databasesize, and the area of interest. In the exemplary system, the continentalU.S. is divided into grid squares 1 degree latitude by 1 degreelongitude. Each grid square measures approximately 70×50 miles. EachVTUTMD receives, from the digital broadcast stream, segment databasesfor at least nine grid squares. The VTUTMD determines its latitude andlongitude via the GPS. Following the steps of a method described herein,VTUTMD can determine and store information related to a grid squarecontaining the vehicle's location, and surrounding grid squares, north,south, east and west, and northeast, southeast, southwest and northwest,for a total of nine grid squares.

Knowing the desired, and surrounding, grid squares, the VTUTMD monitorsthe data stream and load of the nine applicable grid squares containingpolygons of interest (“polygons”) as necessary. Each of these polygonscomprises one or more targeted marketing areas that are of interest toadvertisers. Recognizing that vehicles are not static and move about theUS, the VTUTMD will only update the recognized “home” location once perinterval. In the exemplary system, an interval of twenty one days allowsa user to travel outside of his home area for a vacation. However, ifthe vacation stretches to more than twenty one days, the VTUTMD willdownload and store in a database data corresponding to a new set ofapplicable grids and begin scanning those data for polygons of interest.In the case of a vehicle traveling out of its normal home location,since it does not have a valid database for the new area, it will notstart selective marketing until three weeks have elapsed. Accordingly,the database that receives updates every twenty one days may be referredto as a static database. Thus, the VTUTMD need not constantly update thepolygon database. A special exception algorithm causes the VTUTMD toretrieve and update the initial database after three days instead ofthree weeks for a new deployment.

In certain cases, it may be desirable to update the database more oftenfor vehicles used for vacation travel, for example. In this case, theVTUTMD can download a special, dynamic database, that more frequentlyupdates data and appends it to the standard database as necessary toprovide local content for a traveler, advertising restaurants,attractions, hotels or other vacation destinations, for examples.

The VTUTMD merges the nine individual databases that comprise the staticdatabase covering a home base grid square, with the special, dynamic,database into a single active searchable composite database. Thedatabase contains as many entries as the regions have areas of interest.Each entry contains a polygon containing up to four points. Each polygonentry contains one or more demographic/audio tag combinations. A “wildcard” entry allows all vehicles passing into the virtual polygon to havea more generic audio substitution.

Each broadcast containing targeted marketing technology may broadcast“demographic listener estimates” (“DLE”), or demographic codes, thatestimate the demographics of a listener based on the broadcast contentwith which it is associated. Based on a DLE code, and the location of aVTUTMD, content, such as advertisements, can be inserted into thebroadcast stream that targets the demographics of the listener.Furthermore, if the DLE does not match a specific message available fora given location, then a more generic message can be delivered to thelistener. In lieu of the broadcast containing the DLE, a separate crossreference database can be downloaded to the VTUTMD that references theChannel Number (for satellite SDARS broadcasts), or receive frequency todetermine the DLE. Since AM and FM receive frequencies are reused manytimes, the cross reference database may be a unique part of theappropriate grid square database and when a vehicle is traveling into aparticular grid square, it can reference the DLE for that particulargrid square corresponding to the receive frequency currently tuned.

An area of novelty described in the present application includes thedatabase, storage and lookup methods, and the relative speed at which apotentially very large database can be searched with a modest processorin the VTUTMD to determine which content to insert into a contentstream. As an example, an aspect disclosed herein uses a Linux(Unix-like) operating system.

One feature of Unix, or similar, operating systems uses a set of “C”(the programming language) functions called “NDBM”. NDBM functions use asimple hashing function to allow the programmer to store keys andcorresponding data in data tables and rapidly retrieve them based uponthe assigned key. A major consideration for an NDBM database is that itonly stores simple data elements (bytes) and uses unique keys to addresseach entry in the database. Accordingly, the NDBM functions provide afast, yet scalable, solution that small processors can processefficiently.

The databases are carefully crafted and organized before beingdownloaded into the VTUTMD. Based on the 1×1 degree grid square model,the continental U.S. consists of approximately 938 grid squares. Eachgrid square uses the name of its vertices in forming its name so it iseasily identified for any lookup. As an example shown in FIG. 2, thegrid square containing some portion of Atlanta, Ga. with an actuallocation of N33.86050 W084.49288 has the vertices N33.0 W084.0, N34.0W084.0, N33.0 W085.0, and N34.0 W085.0. One possible naming conventionwould name the grid square using all four corners of its vertices.However, since we used 1 degree grids, and each grid square starts on awhole number degree boundary, an aspect shortens the name of a gridsquare to the single coordinate of the most southern and most easternvertex. Therefore, an aspect can refer to the center grid square inwhich the specified location in the example lies as “33084”. This gridsquare covers an area of approximately 70×50 miles (depending onlatitude), and a database record associated with the grid square via anidentifier derived from “33084” includes information related to thecorresponding grid square.

Since a vehicle could reside and normally pass though one or more of thecenter grid square boundaries, the VTUTMD also downloads and utilizesthe database records of the grid squares adjacent to center grid square33084. The adjacent grid squares are easily determined according to thesteps of a method based on the name of the center grid square. Assumingx=33 and y=084, the algorithm may comprise x−1|y, x+1|y, x−1|y−1, x|y−1,x+1|y−1, x−1|y+1, x|y+1, x+1|y+1 where “|” denotes concatenation. Thus,according to this algorithm, the grid squares adjacent to the centergrid square 33084 are 32084, 34084, 32083, 33083, 34083, 32085, 33085,and 34085.

VTUTMD 10 monitors an incoming datastream until the center grid squaredatabase records and the database records of grids adjacent to it havebeen received. Each database record is downloaded, stored and taggedaccording to the time and date by the VTUTMD 10 in non-volatile memorycoupled to, or part of, the VTUTMD. VTUTMD 10 searches for specialdynamic database data when the vehicle is traveling outside of the areadefined by the nine previously captured database records. These specialdynamic database records are identified in an aspect by the name of thegrid square followed by “S”. The ‘S’ identifies a special transient, orvisitor's, content database record.

The database record for a grid square can contain data for polygons ofinterest (subsequently referred to as polygons) at three differentlevels. In an example shown in FIG. 2, polygon 12 has coordinates, 33.8,084.4; 33.9, 084.4; 33.8, 084.5; and 33.9, 084.5. The southeastern mostvertex, based on these sets of coordinates is 33.8N 084.4W. Thesecoordinates are shown in the quartergrid record labeled 338A0844A, intable 14 in FIG. 1. Thus, polygon 12 may be named 338A0844A. Polygon 12discussed above uses seven digits, but nine characters, to name it; itscoordinates each include a digit to the right of the decimal point toprovide reference to tenths of a degree, rather than just to the degreeof the grid square in which it lies. Use of the character ‘A’ isdiscussed in more detail elsewhere herein.

For some rural areas of the country, there may be no polygons, or aminimum number of grid square polygons, which subsequently may bereferred to herein as simply a grid. In the case where no polygons areof interest to advertisers, a downloaded database record may not containadvertiser information, or content, but nevertheless may be tagged witha time and date stamp for updating, tracking, and database structurepurposes. In cases where a large area includes relatively few polygons,those polygons are presented and addressed directly in the compositedatabase.

A grid can be subdivided into smaller square polygons, referred toherein as quartergrids, superquads, and quads. According to this namingconvention, each grid may comprise four quartergrids (2×2), 100superquads (10×10), or 400 quads (20×20). Dividing a grid's longitudeand latitude by tenth of a degree, for example, would result in asuperquad identified by its southeastern corner's latitude and longitudecoordinates. The corresponding superquad database entry containingaforementioned mentioned GPS location with tenth of a degreegranularity, or resolution, would be identified as 3380844 as discussedabove.

Since the coordinates of superquad polygon 12 are given in tenths of adegree, the superquad is one one-hundredth of a grid making itapproximately 7 by 5 miles. In the most urban areas where there may bemany areas are of interest, a superquad can further be divided by four,or better put, a grid can be divided by 400, or to 1/20 of a degree. Inan aspect, this gives database entries the most direct unit of search, aquad, which is approximately 3.5×2.5 miles for polygon 12. A grid, orquad thereof for example, again is identified by its most southeasterncorner, in this case 338008440. However, one aspect to consider whendeciding to break down a grid for more granularity, and thus betterrelevance of content associated with a given grid, or subdivisionthereof, is the fact that an area may be defined in the database recordfor each of: the quads, superquads, or quartergrids. Since multipledescriptions of the same information in different records would tend todecrease the number of times a given advertisement would be played to alistener, an advertiser should decide whether the association of givenadvertisement content with a grid, quarter grid, or superquad, inaddition to a quad, makes economic sense. For example, if anadvertisement plays when a driver enters a given grid, that sameadvertisement may not play again when the driver enters a quad that theadvertisement content is associated with until other advertisements alsoassociated with the same quad plays, unless the advertiser pays extrafor preferential treatment.

As another example, suppose that a vehicle is located in a very denseurban area called Alpha City. The home location of this vehicle isN044.65432 W115.73321. The urban area is ten miles by ten miles and liesin grid 44115. This grid contains many areas of interest, and thuscorresponding polygons that are associated with these areas, points, orestablishments, of interest, and thus has the database entries brokendown into polygons identified as quads. As the vehicle travels north ofAlpha City, there is only one road. That road is an interstate that runsstraight through 45115. Grid square 45115 is interesting to advertisersso the database record corresponding to it contains multipleadvertisement content corresponding to different advertisers. Directlyto the northeast, grid area 46114 contains no areas of interest to theadvertisers.

FIG. 7 shows an example of a subset of the database record 700corresponding to the grid square containing the home location. Eachgrid's NDBM record is tagged, or associated with, a 9 byte key, or indexvalue in an index field 705. The index is formed by taking the first twodigits (the degrees) of the latitude (latitude values fall between 0 and90, inclusive) and three digits of longitude (longitude values fallbetween 0 and 180, inclusive) as shown, and combining them with ahexadecimal digit “A”, or “B”. This is done because the “A”, or “B” doesnot represent a measure of degrees of either latitude, or longitude.Used as a placeholder so that all identifiers of polygons have the samenumber of characters as an identifier that represents the smallestpolygon (i.e., highest resolution), an “A”, a “B” (or otherpredetermined digit) provides uniqueness in an NDBM database when usedto address, or identify, a polygon (superquad, quartergrid, or grid).Thus, the unique identifier for each polygon used as an index, or usedas an identifier in the index field of an NDBM database, contains thesame number of characters as the unique identifier of other polygons,regardless of whether it represents a grid, quarter grid, superquad, orquad.

As an example, 35AA083AA represents, or addresses, data associated witha grid square having its southeastern most vertex at 35 degrees north ofthe Equator and 83 degrees west of the Prime Meridian. However,350008300 represents, or addresses, a quad having its southeastern mostvertex also at 35 degrees north of the Equator and 83 degrees west ofthe Prime Meridian. Thus, the presence of the placeholder “A” in placesto the right of the whole number portions (i.e., 35 and 83) of thepolygon identifier indicate the degree of resolution (in other words thesize) of the polygon represented.

If the identifier does not contain any “A” characters, then theidentifier represents a quad. If the last digit of either the latitudeportion or the longitude portion is a “B”, the identifier represents asuperquad. If the last digit of either portion of the identifier is an“A”, the identifier represents a quarter grid. If the last two digits ofeither portion of the identifier are both “A”, then the identifierrepresents a grid. Alternatively, a “B” in the second place to the rightof the decimal place could represent a quartergrid and an “A” in thesame location could represent a superquad. Whatever character the methoduses should not matter as long as the choice of characters distinguishesbetween coordinate values for superquads and quarter grids where thefraction portion for each corresponds to one half of a degree.

Furthermore, in an aspect, a polygon indicated by an identifier need notbe symmetrical with respect to degrees or subdivisions thereof. Apolygon need not be limited to one degree by one degree (a grid), onehalf of a degree by one half of a degree (quarter grid), one tenth of adegree by one tenth of a degree (superquad), or one twentieth by onetwentieth of a degree (quad). For example, the polygon identifier35AA08300 would represent a polygon having width of one twentieth of adegree east to west, and one degree south to north, and having its mostsoutheastern vertex at 35N 83W.

In another aspect, the portion of the location coordinate valuesrepresenting fractions of a degree may comprise three digits rather thantwo, so that a southeastern vertex representing a superquad can havecoordinate values with resolution of one twentieth of a degree, eventhough one tenth of a degree would define the length of a side of asuperquad. A zero digit in the third digit of the fractional portion ofa coordinate value could indicate a quad, but a “B” in the third digitcould represent a superquad. For example, 35150084850 could identify aquad having its southeaster vertex at 35.150N 84.850W, whereas3515B08485B would correspond to a superquad having the same southeasterncorner, or vertex. Although the same southeastern vertex would defineboth the quad and superquad, the superquad would have sides of one tenthof a degree but would be anchored by a southeastern corner havingnon-even number fractional coordinate values (i.e., 0.05; 0.15; 0.25; .. . 0.95).

Continuing with discussion of FIG. 7, database 700 uses field 710 tostore one, or more, content addresses. However, it will be appreciatedthat the front value in index field 705 may be a hash of the string35AA083AA000. The value behind it, as viewed in the figure, would be ahash of the string 35AA083AA001. The addresses can be IP addresses, ormemory addresses of a location where a content file is located, storedeither locally, or remotely on a remote server. The address in field 710could also be any other way of identifying the location where thecorresponding content, or data, is stored. Field 710 can be two (ormore) dimensional, thus making a database including multiple recordslike record 700 function as a three-dimensional database, or table. Ifmore the one content file is associated with a given geographicalpolygon (represented by the value in index field 705), then a separatecontent identifier represents each of the content files in the table asshown by the record blocks 710-000 through 710-999.

Turning now to FIG. 3, the figure illustrates a method 300 running in aVTUTMD for playing content based on the location of a vehicle. Method300 starts at step 305. An operator of method 300 builds a database atstep 310. In building the database, method 300 typically associatesadvertiser content with a unique identifier, wherein the method formsthe identifier from a latitude portion and a longitude portioncorresponding to the coordinates of the southeastern most vertex of aparticular geographic polygon. As discussed above, the polygon may be agrid, a quarter grid, a superquad, or a quad.

An advertiser for a local restaurant may only want to associate amultimedia content file, an address thereof, or pointer thereto, withthe identifier of a quad in which the restaurant is located. Or, therestaurant may want to pay more to associate his, or her, restaurantwith the identifiers of the quad it is located in as well as the quadsthat surround it. On the other hand, an owner of a large chainrestaurant may want to associate its advertising multimedia content filewith an identifier of an entire grid that contains a large number of itsrestaurants.

Accordingly, method 300 associates an advertiser's content file, or apointer thereto, with the identifier of a polygon. The identifiertypically also includes a content/data number portion, in addition tothe latitude and longitude portion. For example, unless only oneadvertiser wishes to pay to associate an advertising file with a givenpolygon, each disparate value for the content number portion correspondswith a respective content file. In an aspect, the content number portionis a three digit number. Accordingly, up to 1,000 different contentfiles could be associated with the identifier in the database tableassociated with a given polygon. Method 300 initializes a content queuecounter to zero when it downloads data to build the database. As eachcontent file is played to a driver during a predetermined period forplaying advertising content, the method increments the content queuecounter as described in greater detail below in connection with thedescription of step 345. Preferably, a hash algorithm processes thegeographic coordinates and content/data number portion and stores themas unique identifiers, or search keys, into an NDBM database at step 310to facilitate highly efficient searching thereof.

After method 300 has built a database at step 310, the method downloadsdatabase records to the VTUTMD at step 311 based on the coordinates ofthe VTUTMD's ‘home’ location, which may be the home address of the ownerof the vehicle in which the TMD is installed. The database recordsdownloaded at step 311 typically include static database records, aswell as dynamic records if a driver of a vehicle having a given VTUTMDenters a geographical location that differs from his or home base. Asdiscussed above, the dynamic database records would correspond to grids,and their subdivisions, surrounding a temporary location, such as avacation location. If a VTUTMD remains in a ‘temporary’ location longerthan a predetermined period, for example three weeks, the VTUTMD maydeem the temporary location the permanent location and deem the dynamicdatabase records as static records. Method 300 may set an update timerat step 312 to a predetermined period, typically equal to a number ofdays or weeks. Method 300 may use the update timer to determine when toupdate the static portion of the composite database with new content. Itwill be appreciated that method 300 may update the dynamic portion ofthe composite database even if the update timer has not counted down ifthe VTUTMD enters a location outside the nine grid squares for whichdata related thereto composes the static portion of the compositedatabase.

After setting the update timer at step 312, the method determines thecurrent location of the VTUTMD at step 315. Method 300 sets a loop timerat step 317 to a predetermined period used to determine when to acquireand process current location coordinates. Typically, the GPS portion ofthe VTUTMD can update the location coordinates once every second, so theloop timer may be set to equal one second. But, the transmitting ofupdated information from GPS satellites can vary. Furthermore, method300 can direct that the VTUTMD perform the steps of method 300 at anypredetermined interval. For example, a user may wish to set the looptimer value higher than one second to reduce processor load.Alternatively, method 300 can automatically cause the loop timer valueto reset to different values at different times of the day, or week.

After the VTUTMD determines its location coordinates at step 315, andsets the loop timer, method 300 rounds the coordinate values down atstep 320. In an aspect, when rounding down the values of the coordinatesof the current location at step 320, method 300 typically stores thecoordinates to four different memory portions each in a differentformat. For example, method 300 may designate a memory portion of theVTUTMD to store a value for use in searching for a matching quad in afuture step of method 300. Since quads are one-four-hundredth of a grid,as discussed elsewhere herein, a given coordinate value is rounded downto the nearest one-twentieth of a degree. Thus, the values for thelatitude and longitude portions representing the southeastern mostvertex of a quad would end in either “0.00” or “0.05” (or “0.000, or“050” if using three digits to represent the fractional portion ofcoordinate values as described above). Similarly, when processing thecurrent position coordinates, along with an appended content/datanumber, according to the same hash routine used to build the database atstep 310 for use as a search key in searching for a matching superquadidentifier in the highly efficient database, method 300 rounds down thecurrent position coordinates to the nearest tenth of a degree and placesan “A” in the position that is two places to the right of the decimalpoint (position to the right of the whole number degree value of acoordinate value).

When method 300 converts the current location position coordinates andcounter number into a search term for use in searching the compositedatabase for a matching quarter grid, however, the method rounds thecoordinate values down to the nearest half of a degree and places a B inthe position two places to the right of the decimal point. Thus,identifiers in the database for a superquad will differ from entriesfrom a quarter grid when the digit in a coordinate's position one placeto the right of the decimal place is a “5.” For example, 345A0835A wouldrepresent a superquad and 345B0835B would represent a quartergrid, whereeach polygon has its southeastern most vertex at 34.5N and 083.5W.

Finally, when method 300 converts and stores the current locationposition coordinates at step 325 for use in searching for a matchingidentifier in the database corresponding to a grid square, the methodplaces two “A” characters, or “AA” to the right of the decimal pointbefore storing the identifier to the corresponding memory portiondesignated for storing a grid-based search key, or search string.

In the above discussion regarding converting the current locationposition information to a search string at step 325, method 300 roundsdown. Thus, searching for a matching entry in the composite databasewill result in finding an entry that matches the polygon represented byvalues related to its southeastern most vertex in which the VTUTMD islocated. In addition, the discussion above describes placing an “A” or“B” character in reference to a decimal. However, method 300 does notneed to actually place a decimal character in the string it stores tothe quad, superquad, quartergrid, and grid memory locations for use incomparing to corresponding polygon entries in the composite database.Reference is made to the location of a decimal for purposes ofdescribing how to handle the identification of polygons of varyinglevels of precision.

Method 300 stores the rounded values to the corresponding memoryportions at step 325. It will be appreciated that values stored in theplurality of memory portions may be stored in the same format that entryvalues for corresponding key values are stored in the index field of thecomposite database. For example, an operator of a VTUTMD, or a serviceprovider that provides services through via a VTUTMD, may choose to usean NDBM database, where entries in the index field of the records in thedatabase are the result of a hash algorithm performed on the identifierthat comprises the current location coordinates and the fillercharacters, ‘A’, or ‘B’, as discussed above.

At step 330, method 300 retrieves the value stored in the quad keymemory portion and appends a“000” to the quad key. It will beappreciated that the “000” could be appended after rounding but beforestoring at step 325. Further, it will be appreciated that afterappending the “000”, method 300 performs a hash function on theretrieved value (with “000” appended) using the same hash function thatit used in step 310 to build the composite database, as will be describein more detail elsewhere herein. Method 300 searches the index field ofthe composite database for a value that matches the quad key searchterm. Method 300 determines whether a match is found at step 335. Ifmethod 300 determines at step 335 that the composite database does notcontain a match to the search term corresponding to the value retrievedfrom the quad key memory portion, the method advances to step 350.

If method 300 determines that a match (matching record) exists in thecomposite database at step 335, the method advances to step 340 andretrieves content from the composite database (or from a locationpointed to by the matching record) that corresponds to the matchingdatabase record and plays it according to a subroutine method describedin more detail herein. Alternatively, method 300 can perform some otheraction at step 340; for example, evaluating whether the currentcoordinate values lie within a polygon defined in the database, or inanother database pointed to by the matching record. After playing thecontent at step 340, method 300 increments the content queue counter atstep 345 according to a subroutine method described in greater detailherein.

At step 380, method 300 determines whether the loop timer has counteddown. If the determination at step 380 is yes, method 300 advances tostep 385 and determines whether the update timer has counted down. Ifthe determination at step 385 is yes, method 300 advances to step 311and the method repeats as described above.

If the determination at step 380 is no, method returns to step 330 andcontinues as described above. If the determination at step 380 is yes,method 300 advances to step 385. If the determination at step 385 isthat the update timer has expired, method 300 returns to 311 andcontinues as described above. If the determination at step 385 is no,method 300 returns to step 315, and continues as described above.

Returning to the description of method 300 at step 335, if the methoddetermines that the composite database does not contain a value in theindex field matching the hashed result of the quad identifier, at step350 the method retrieves the search term corresponding to the currentvalue in the memory portion for storing the hashed value correspondingto the superquad representation of the current position of the VTUTMD.Method 300 compares the value retrieved at step 350 with the values inthe index field of the composite database to determine if a matchtherein exists at step 355. If the determination at step 355 is yes,method 300 advances to step 340 and continues as described above. If thedetermination at step 355 is no, the method advances to step 360.

At step 360, method 300 retrieves the search term corresponding to thecurrent value in the memory portion for storing the hashed valuecorresponding to the quartergrid representation of the current positionof the VTUTMD. Method 300 compares the value retrieved at step 360 withthe values in the index field of the composite database to determine ifa match therein exists at step 365. If the determination at step 365 isyes, method 300 advances to step 340 and continues as described above.If the determination at step 365 is no, the method advances to step 370.

At step 370, method 300 retrieves the search term corresponding to thecurrent value in the memory portion for storing the hashed valuecorresponding to the grid representation of the current position of theVTUTMD. Method 300 compares the value retrieved at step 370 with thevalues in the index field of the composite database to determine if amatch therein exists at step 375. If the determination at step 375 isyes, method 300 advances to step 340 and continues as described above.If the determination at step 375 is no, the method advances to step 390and plays generic content, or performs some other action, beforereturning to step 315 and continuing therefrom as described above.

Turning now to FIG. 4, the figure illustrates a flow diagram showing thesteps of subroutine method 310 shown in FIG. 3. Method 310 starts atstep 405 when called from step 310 in shown in FIG. 3. At step 410, atelematics services provider (“service provider”) receives one, or more,content segments from an advertiser. The advertiser (“content provider”)may push the advertisement content via the internet to the serviceprovider. Or, the content provider may transfer the content to theservice provider via a computer disc, or other means. Along with a givencontent segment (e.g., an mp3 file for a fifteen second audioadvertisement), the content provider will typically associategeographical coordinates of a particular polygon. The content providermay also associate a code, or codes, that indicates, or indicate,particular demographic characteristics.

At step 415, the services provider evaluates the polygon coordinates ofthe current content segment and determines (typically using a softwareprogram) whether it has received other content segments from contentproviders that have been associated with the same polygon. If theservice provider has not received any other content segments associatedwith the same polygon, it appends the content counter value “000” to thecurrent segments polygon coordinates at step 425. It will be appreciatedthat the content provider may have already inserted “A's”, or “B's”, toindicate the size polygon it wants to associate the current contentwith. If the content provider has not already inserted A's, or B's” (orother agreed-to characters that indicate polygon size), the contentprovider should have provided a size polygon it wants to associate theadvertising content with. The service provider then creates theidentifier of the polygon based on polygon coordinates, and the desiredpolygon size as requested by the content provider.

Returning to discussion of step 415, if the determination is no (serviceprovider has received content and associated it with the same polygon asthe polygon requested for the current coordinates), the service providerincrements the content counter at step 430 and method 310 advances tostep 425, where it performs the step as described above. Afterperforming step 425 one, or more, time, or times, the service providerhas a database that associates a unique identifier with a content file,or another indicator that points to, or addresses, a content file. Theservice provider creates the unique identifier by appending the contentcounter value to the description (coordinates and size suffixes) of apolygon. In addition, the service provider appends any codes thatindicate a particular demographic group to the polygon description.Thus, the unique identifier associated with a particular content segmentfile identifies a polygon location, the polygon's size, any preferreddemographic group and the incremental sequence number assigned tocontent for the same polygon to distinguish the content from othercontent files associated with the same polygon. In addition, in anotheraspect, the service provider could achieve more than 1000 uniqueidentifiers for content files within a given polygon by assigningcontent counter values 000 through 999 not only according to aparticular geographic polygon, but also for each of a plurality ofdemographic codes for the given polygon. Thus, for a given polygon, fortwo different demographic code combinations, the service provider couldassociate 2000 content files with a given polygon.

After performing step 425, the service provider may optionally apply ahash algorithm to the identifier at step 440. Since the identifierresulting from step 425 could contain many characters (nine charactersfor geographical coordinates, three characters for content countervalue, and more characters for one, or more, demographic codes, a hashresult would typically result in fewer characters than the identifieritself, and thus would speed any search that a VTUTMD would perform, asdiscussed in reference to steps shown in FIG. 3.

Continuing with discussion of FIG. 4, at step 445, the service providerassociates the unique identifier, either original identifier, or theresult of performing the hash algorithm on the original identifier, withthe corresponding content into a database record. Thus, the serviceprovider typically maintains in a master database many database recordsthat associate a unique identifier, which identifies a particularpolygon, potentially a particular demographic group, and sequentialnumber to distinguish between multiple entries for a given polygon andgiven demographic characteristics, with corresponding content. Thus,when a VTUTMD downloads static and dynamic database records at step 311in FIG. 3, the VTUTMD receives all records from the master database thatcorrespond to the home, and possibly temporary, locations of the VTU,and its owner's demographic characterization. Subroutine method 310returns to method 300 at step 250.

Turning now to FIG. 5, the figure illustrates a flow diagram ofsubroutine method 340 of FIG. 3. Method 340 starts at step 505 and setsa polygon size flag at step optional step 507. The polygon size flagindicates which size of polygon the content to be played is targeted at.The flag is set at step 507 based on which of decision steps 335, 355,365, or 375 from FIG. 3 returned a “Y”, or yes, result.

Continuing with description of FIG. 5, method 340 accesses contentmatching the identifier in the index field from the “Y” match from steps335, 355, 365, or 375. To access content, the method 340 directs theVTUTMD to access a content file corresponding to a pointer in the recordthat resulted from the match at either of steps 335, 355, 365, or 375.The pointer could be an IP address, a memory address, or other suchmeans.

The actual content file that corresponds to the matching pointer couldreside on, or local to, the VTUTMD. Or, the content file could resideremotely at a server or other storage means accessible remotely from theVTUTMD via a wireless link from the VTUTMD. After accessing the contentfile, the VTUTMD plays the content file so the user can hear, andpossibly see, the file content. It will be appreciated that the VTUTMDwill play the content when a break in programming occurs. Typically, anaudio, or video stream, broadcast, multicast, unicast, or other form,includes an indicator when an advertisement opportunity occurs.Subroutine method 340 ends at step 520 and returns to method 300 at step340 as shown in FIG. 3.

Turning now to FIG. 6, the figure illustrates a flow diagram of asubroutine method 345 for incrementing a content counter. Method 300,shown in FIG. 3, calls subroutine method 345 at step 345. Subroutinemethod 345 starts at step 605 shown in FIG. 6, and determines at step610 which polygon size was determined from steps 335, 355, 365, or 375in method 300. As discussed above, this determination may be made atstep 507 in method 340. If method 340 did not perform step 507, theoperation at step 610 may be to do nothing; if step 507 was notperformed, a generic message may have been played and thus a polygonsize was not selected at either of steps 335, 355, 365, or 375. At step615, method 345 increments a counter specific to polygon sizes. Thus, ifa current value in a quartergrid counter is 134, and the most recentiteration of subroutine 340 played a content file corresponding tocontent counter field 710-134 in FIG. 7, for example, after a ‘Y’ resultfrom step 365 in FIG. 3, then, method 345 would increment the contentcounter value for the quartergrid counter, so that the next time step365 results in a ‘Y’, step 515 will play content addressed by a value inrecord 705 that identifies a quarter grid combined with a contentcounter value of 135 in 710-135 of table 705 shown in FIG. 7. However,if step 507 was not performed, an update to a polygon-specific counterwould not typically occur. Method 345 ends at step 620 and returns tomethod 330 shown in FIG. 3 at step 345.

The following narrative illustrates use of a VTUTMD for insertingtargeted marketing content. If a vehicle is parked in the home drivewayof its owner and the VTUTMD is attempting to determine if the vehicle isin a targeted segment, the first step is to determine which quad thevehicle is in. The processor in the VTUTMD generates a trial key for thequad based on the GPS coordinates of the current location as shown inthe following table:

Latitude Rounded Longitude Rounded degrees Latitude degrees LongitudeKey 44.65432 4465 115.73321 11570 446511570

The key can be thought of as comprising a latitude portion and alongitude portion. The latitude portion being the rounded latitude valueand the longitude portion being the rounded longitude portion. Beforeperforming a lookup of the database record based on the key, they keymay be concatenated with “000.”

A lookup based on this key portion concatenated with “000” (the firstrecord corresponding to the quad having a southeast coordinate of 44.65N115.70W of the sequence) that yields no results indicates that nocontent has been associated with the polygon corresponding to thesequad-level coordinates. Note that the coordinate values are rounded downto the nearest, and lower, 0.05 degree increment. It is noted that thekey value references the quad address based on the addressingplan—referring to a rectangle based on the southeastern mostvertex—discussed elsewhere herein.

Next, the processor searches to see if a superquad record exists. Theprocessor in the VTUTMD then assembles a key based on the superquadformat:

Latitude Rounded down Longitude Rounded down degrees Latitude degreesLongitude Key 44.65432 446 115.73321 1157 446A1157A

This record is established using the values for each of the latitude andlongitude coordinates rounded down to the nearest tenth of a degree andwith an “A” appended to each coordinate value before concatenating thetwo groups together. This allows a lookup of a point in the database ofa superquad polygon (in other words, a database record's index fieldvalue corresponds to a superquad-sized polygon). Accordingly, it will beappreciated that a search preferably starts with the smallest incrementof area, the quad, and progresses through a superquad search, then aquarter grid search, and finally a grid search. This allows associatingcontent files with different sized polygons.

Each time a search is conducted for a key based on given geographicallocation coordinates and polygon size, the search begins searching thedatabase at the beginning segment of each element; i.e., a hash resultthat is generated from the coordinates, polygon size indicators, andcontent counter number, which, as discussed above, preferably rangesbetween “000” and “999”. The last search would preferably be at the gridlevel with the identifier (before appending a value 000 through 999)assembled as shown below:

Rounded Rounded down down Latitude Filler Longitude Filler Key 44 AA 115AA 44AA115AA

Based on the key generated concatenated with “000” (the first record ofthe sequence) (the actual NDBM key will be “44AA115AA000”), theprocessor addresses the composite database and reads a “0” record. This“0” is the first actual segment associated with the grid.

If the point does reside within the polygon, then the segment key, thepolygon identifier, polygon vertices, as well as the DLE and audiosegment identifiers, are locally stored for comparison to the DLEreceived from a currently tuned broadcast stream. If the stored DLEmatches the received DLE, then the audio segment identifier identifies apossible audio segment to be played at the next identified insertionpoint. If the received DLE does not match the stored DLE, then theprocessor will continue searching the database by incrementing thecounter from “000” to “001” to see if a possible match occurs. Thisallows an area to have multiple demographic types to receive targetedaudio content in the same location. Up to 1000 areas (from 000 to 999)are possible per polygon allowing extremely large granularity and largenumbers of audio content. Further, with the flexible addressing of areasfrom a quad to a grid, relatively large areas can be accommodated. It ispossible to have content that an advertiser wishes to reach a targetwithin a grid, and stored and received DLEs do not match, but within thesame grid, DLE codes stored in the VTUTMD (and thus may be used togenerate unique identifiers in the composite database) matches contentthat an advertiser wishes to apply to a quad. If a quad-level content isnot found by searching quad records, The VTU can play grid level contenthaving a content value equal to the corresponding value currently set inthe content counter (see step 615 in FIG. 6). Accordingly, the recursivesearch mechanism where the VTUTP searches until a match is encounteredallows multiple levels of substitution for multiple demographic classes.

The GPS resolves the vehicle position once per second and filters theposition with a Kalman filtering algorithm, known to those skilled inthe art and with outputs shown in FIG. 8.

Audio segments can be compressed audio or text messages that areverbalized using text to speech techniques. Audio segments can bedistributed using various methods. Preferred methods include using thebroadband data stream to using the alternate audio source as a feed froman IBOC. Any alternate source of audio can be considered and even analogaudio sources that are digitized upon reception can be utilized. Anexample would be to use an analog FM subcarrier channel designed fordistribution of alternate audio source, digitized and stored as digitalaudio segments for replay and insertion into an audio program. Usingthis technology does have the ability to deliver targeted DLE contentfor the primary audio channel. Recognizing marketing content(advertising) only occupies a small portion of the hourly content, aterrestrial broadcaster can subdivide his advertising content into manysmall targeted areas. Further, if implemented correctly, the FMsubcarrier could deliver not only the content, but the queue indicatingto the VTUTMD that a substitution is necessary.

Based on the preferred implementation, a VTUTMD could include animplementation that applies only to terrestrial or only to SDARS(satellite) or a combination of both. One aspect of interoperation isthe queue signals that allow substitution of audio content, whetherdigitized audio or text to speech, this queue signal indicates the startof content and the length of the content so that the VTUTMD cananticipate the length of the message to be played. Using the methodsdemonstrated here, audio segment tags are assigned six digit numbersthat are unique to a specific area of the country (it could be specificto a WalMart parking lot for example by using geographic subdivisionssmaller than a quad, like a polygon that is one one-hundredth of adegree latitude by one one-hundredth of a degree longitude, or one tenthousandth of a grid. Even smaller subdivisions could be used forproviding content to a user on a personal device while navigatingthrough a shopping mall, or other public place with a high density ofcommercial establishments, or vendors.

Then once the vehicle, or individual, travels to the specified area, theaudio segment identifier identifies the potential segments that mayapply to this specific area. Upon first entry to the specified areaidentified by a change in the audio segment identifier, a contentcounter is set at “000”. Multiple areas defined in the polygon databasecan identify the exact same audio segment identifier. In the exemplarysystem, a queue signal broadcast along with the digital audio streamidentifies the DLE and length. The combination of the audio segmentidentifier “012223” plus the DLE “020” plus the length factor expressedas five second increments “012” (sixty seconds) plus a replay flag “000”is concatenated to a single index “012223.020.012.000”. If no contentexist using the index created, then the audio stream is unmodified fromthe main distribution. If content is located that corresponds to theindexed value, then the audio substitution will proceed. The replaycounter is incremented by one. If the replay counter is incremented to avalue other than “000” and no match is located for the audiosubstitution, then the counter is reset to zero. The index points to aspecific audio message from a third message database that is alsoidentified by a six digit field.

The combination of the data bases shall insure that audio content isavailable and if no content has been downloaded to correspond to theassociated segment database, then the counter shall be reset to “000”and another VTUTMD will search for another segment. Recognize that thereception of audio segments generally will happen only during activedrive time and the potential for missing specific targeted audiosegments for specific DLE is high. This system depends on receivingaudio data (segments) and caching those segments for replay at theappropriate time for the appropriate demographic. While it can providereasonable replacement with “long running” advertisements, it doesrequire some advance planning to allow substitution of content for a“short running” commercial. Certainly higher bandwidth distributionmethods support themselves better than a single low bandwidth digitizedFM subcarrier, but as long as the single FM subcarrier is only trying toprovide replacement content for the associated FM voice channel, theresults would be acceptable. Further, with proper management, andlimiting replacement content to a specific length say 60 seconds,carefully managing the distribution for specific demographics andmanaging the distribution to match the drive times of specific regionsof the country, satellite audio sources can be very successful withaudio substitution.

In another embodiment, in addition to defining a rectangular shape, likea grid or one of the previously discussed subdivisions thereof, adatabase record can also define a polygon that is not a parallelogramand that has more than four sides.

In view of the foregoing, it will be appreciated that the inventionprovides reasonable and acceptable method for adding local content towide area broadcasts. Further, it should be recognized that although thepreferred embodiment is to utilize equipment that may have beeninstalled for other purposes, this technology could be developed andinstalled in a specially designed platform designed specifically for thepurposes described. It should be understood that the foregoing relatesonly to exemplary embodiments of the present invention, and thatnumerous changes may be made therein without departing from the spiritand scope of the invention as defined by the following claims.

For example, the content, or data, pointed to by the record found bymethod 300 could include media content to play for advertising purposes.Alternatively, the data that a matching record points to could includethe points of a polygon other than one of the four polygons alreadydescribed (grid, quartergrid, superquad, and quad). If a polygon flag isset in the record, method 300 could perform a ‘point in polygon’subroutine to determine if the polygon defined in the database recordencompasses the current location of the VTUTMD. If so, method 300 maydetermine an advertising content file to play based on a subroutine thatplays advertisements when the VTUTMD is within the polygon according toa frequency corresponding to how much an advertiser has paid for acontent file to be played. Alternatively, method 300 can report vehicleperformance parameters according to predetermined parameter variablenames stored as data in the record. For example, the data record couldinclude variable names for speed, braking, acceleration, and location.The information corresponding to the variable names can be retrievedfrom a vehicle's onboard diagnostic system, from a CAN bus connection,from an OBDII port, or from other similar means for supplying vehiclediagnostic and performance information. After retrieving performanceinformation from the vehicle, method 300 can transmit the performanceinformation wirelessly to a central computer for processing. The centralcomputer can process the received information for use in reporting andpredicting current and future traffic conditions. For example, thecentral computer can synthesize the information from many vehicles in agiven metropolitan area, for example, and report current trafficconditions to a given subscriber for a preferred, as well as for analternate, route from point one location to another. Thus, rather thanjust viewing traffic conditions for major roadways from a helicopter andreporting them on a broadcast radio station every five to seven minutes,a subscriber can obtain instant and current conditions for all roads,rather than stale traffic condition information for roads he, or she,may not even plan to follow from one point to another.

In an aspect, the NDBM database has an index field, with the values ineach of its records being a hashed version of coordinates describing agrid or subdivision thereof as described above, and perhaps an appendedthree digit value that provides the ability to associate multiplerecords with the same coordinates. Hashing the coordinates and the threedigits provides a unique identifier.

The information associated with the unique identifier is preferably adata pointer, or number, or address, that points to a data record in asecond database. This second database (the NDBM database being the firstdatabase) may not be an NDBM database, but instead a two dimensionaltable. The information associated with a record matching the datapointer may include points of a polygon (of any shape, not justrectangles), a polygon flag, and perhaps a content pointer, or address,that points to a record in a third database. The third database may alsobe a non-NDBM database table. Content associated with a given contentpointer may include a content file, such as, for example, an .mp3 filethat contains advertising audio, or an .mpg file that contains video.One skilled in the art will appreciate that the file types describedherein can change over time. Indeed, over the course of the term of apatent that may issue based on this application, different forms ofstoring and retrieving content and data may exist that do not exist atthe time of this writing. However, the basic concept of using a device'scurrent location coordinates to form a search term, efficientlysearching a database for content associated with the current location,and playing that content at a predetermined time, or periodicallyuploading performance information related to a vehicle, will workregardless of the means and methods for storing and retrievinginformation.

What is claimed is:
 1. A method for performing an action based on ageographical location of a telematics unit of a vehicle, comprising:determining, by a GPS portion of the telematics unit, values ofcoordinates of a current location of the telematics unit; creating, by aprocessor of the telematics unit, a unique identifier based on thevalues of the coordinates after rounding down the values of thecoordinates; using, by the telematics unit, the unique identifier and acontent counter number as a search term to search a New Database Manager(NDBM) database, the NDBM database being indexed on a plurality ofunique keys with corresponding data in data tables for retrieval using ahashing function, each of the plurality of unique keys corresponding tocoordinates of a geographic point of a particular polygon of aparticular geographical area, and the NDBM database being stored by thetelematics unit; and performing, by the telematics unit, the actionbased on data associated with a unique key, of the plurality of uniquekeys, that matches the search term, performing the action including:playing a selected content file associated with the unique key, andincrementing the content counter number.
 2. The method of claim 1,wherein the selected content file is played at a predetermine timeduring a wireless program that is broadcast from outside the vehicle. 3.The method of claim 1, wherein performing the action further includes:inserting the selected content file into a broadcast stream of an SDARSradio component.
 4. The method of claim 1, wherein rounding down thevalues of the coordinates includes: rounding down the values of thecoordinates to a nearest five one hundredths of a degree before creatingthe unique identifier.
 5. The method of claim 1, comprising whereinrounding down the values of the coordinates includes: rounding down thevalues of the coordinates to a finer resolution than a nearest five onehundredths of a degree before creating the unique identifier.
 6. Themethod of claim 5, wherein the values of the coordinates correspond togeographic areas.
 7. The method of claim 1, further comprising:downloading the NDBM database from a telematics service provider.
 8. Themethod of claim 1, further comprising: updating the values of thecoordinates based on an update timer.
 9. A method for generating adatabase system for associating information with a unique identifier keyand an index key value, comprising: determining, by one or moreprocessors, values of coordinates that define a preferred geographicarea corresponding to a particular polygon; creating, by the one or moreprocessors, a unique identifier based on a hashed rounded version of thevalues of the coordinates and a content counter; using, by the one ormore processors, the unique identifier as the index key value in anindex field of a first record in a first database, the first databasebeing a New Database Manager (NDBM) database, and the first databasebeing indexed on a plurality of index key values with corresponding datain data tables for retrieval; associating, by the one or moreprocessors, the index key value with first action information in thefirst record, the first action information including a pointer thatpoints to a second record in a second database; associating, by the oneor more processors, coordinates of multiple geographic points thatdefine a polygon with second action information in the second record,the second action information including a content pointer that points toa third record in a third database; and associating, by the one or moreprocessors, a content file with the third record, the content file beingtransmitted to a telematics unit when the index key value matches areceived unique identifier associated with a current location of thetelematics unit.
 10. The method of claim 9, wherein the content file isan audio content file.
 11. The method of claim 9, wherein the definedpolygon corresponds to a home location of the vehicle telematics unit.12. The method of claim 9, wherein the defined polygon corresponds to alocation other than a home location of the vehicle telematics unit. 13.The method of claim 9, further comprising: using a hashing algorithm toprocess the values of the coordinates and a content number; and wherecreating the unique identifier includes: creating the unique identifierbased on using the hashing algorithm.
 14. A method, comprising:receiving, by a telematics service provider server, advertising contentin a content segment from an advertiser, the content segment beingassociated with geographical coordinates of a particular polygon;generating, by the telematics service provider server, a polygonidentifier corresponding to the received advertising content, thepolygon identifier being based on the geographical coordinates;appending, by the telematics services provider server, a counter value,representing an incremental number of polygon identifiers, with thepolygon identifier, the incremental number of polygon identifiersrepresenting a number of different content segments the telematicsservices provider has received that have the geographical coordinates,and the appended counter value forming a unique content identifier thatcorresponds to the advertising content and the geographical coordinates;associating, by the telematics service provider server, the uniquecontent identifier with corresponding advertising content, received inone or more content segments, in a content database; receiving, by thetelematics service provider server, a unique identifier in a contentaccess request message via a wireless link from a vehicle telematicsunit at a vehicle, the unique identifier corresponding to hashed roundedgeographical coordinates corresponding to a current location of thevehicle; using, by the telematics service provider server, the uniqueidentifier as a search term to search the content database, the contentdatabase being indexed on a plurality of unique keys with correspondingdata in data tables for retrieval; determining, by the telematicsservice provider server, that the unique identifier corresponds to theunique content identifier; and transmitting, by the telematics servicesprovider server and to the vehicle telematics unit via the wirelesslink, the advertising content.
 15. The method of claim 14, whereappending the counter value includes: appending a code representing aspecific demographic group to form the unique content identifier. 16.The method of claim 14, wherein the content segment includes a polygonsize indicator to associate with the advertising content; and whereingenerating the polygon identifier includes: generating the polygonidentifier based on the polygon size indicator.
 17. The method of claim14, further comprising: transmitting the content database to the vehicletelematics unit at the vehicle.
 18. The method of claim 14, furthercomprising: determining whether other content segments have beenreceived; and resetting the counter value based on determining thatother content segments have not been received.
 19. The method of claim14, further comprising: determining whether other content segments havebeen received; and incrementing the counter value based on determiningthat other content segments have been received.
 20. The method of claim14, further comprising: processing the unique identifier using a hashingalgorithm to reduce a number of characters associated with the uniqueidentifier.